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Additional germline findings from a tumor profiling program

Overview of attention for article published in BMC Medical Genomics, August 2018
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Title
Additional germline findings from a tumor profiling program
Published in
BMC Medical Genomics, August 2018
DOI 10.1186/s12920-018-0383-5
Pubmed ID
Authors

Neda Stjepanovic, Tracy L. Stockley, Philippe L. Bedard, Jeanna M. McCuaig, Melyssa Aronson, Spring Holter, Kara Semotiuk, Natasha B. Leighl, Raymond Jang, Monika K. Krzyzanowska, Amit M. Oza, Abha Gupta, Christine Elser, Lailah Ahmed, Lisa Wang, Suzanne Kamel-Reid, Lillian L. Siu, Raymond H. Kim

Abstract

Matched tumor-normal sequencing, applied in precision cancer medicine, can identify unidentified germline Medically Actionable Variants (gMAVS) in cancer predisposition genes. We report patient preferences for the return of additional germline results, and describe various gMAV scenarios delivered through a clinical genetics service. Tumor profiling was offered to 1960 advanced cancer patients, of which 1556 underwent tumor-normal sequencing with multigene hotspot panels containing 20 cancer predisposition genes. All patients were provided with an IRB-approved consent for return of additional gMAVs. Of the whole cohort 94% of patients consented to be informed of additional germline results and 5% declined, with no statistically significant differences based on age, sex, race or prior genetic testing. Eight patients were found to have gMAVs in a cancer predisposition gene. Five had previously unidentified gMAVs: three in TP53 (only one fulfilled Chompret's Revised criteria for Li-Fraumeni Syndrome), one in SMARCB1 in the absence of schwannomatosis features and one a TP53 variant at low allele frequency suggesting an acquired event in blood. Interest in germline findings is high among patients who undergo tumor profiling. Disclosure of previously unidentified gMAVs present multiple challenges, thus supporting the involvement of a clinical genetics service in all tumor profiling programs.

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Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 23%
Student > Master 4 18%
Researcher 3 14%
Student > Postgraduate 2 9%
Unknown 8 36%
Readers by discipline Count As %
Medicine and Dentistry 9 41%
Biochemistry, Genetics and Molecular Biology 3 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Immunology and Microbiology 1 5%
Agricultural and Biological Sciences 1 5%
Other 0 0%
Unknown 7 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 August 2018.
All research outputs
#19,285,443
of 23,872,700 outputs
Outputs from BMC Medical Genomics
#896
of 1,268 outputs
Outputs of similar age
#258,449
of 333,012 outputs
Outputs of similar age from BMC Medical Genomics
#12
of 19 outputs
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